在单剂和双剂疫苗存在犹豫期的情况下传播 COVID-19:数学建模和优化控制分析

IF 1.3 Q3 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Frontiers in Applied Mathematics and Statistics Pub Date : 2023-12-07 DOI:10.3389/fams.2023.1292443
Isaac Mwangi Wangari, Samson Olaniyi, R. Lebelo, K. Okosun
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引用次数: 0

摘要

新型冠状病毒sars - cov -2(严重急性呼吸综合征冠状病毒2)的突然出现,扰乱了世界秩序,人类赖以生存的核心活动几乎陷入停顿。新冠肺炎大流行造成了无法克服的全球健康危机,各国团结起来,研究有效的药物措施,以阻止新冠病毒的扩散。因此,发现了不同类型的疫苗(单剂和双剂疫苗)。然而,这些疫苗开发和批准使用的速度带来了其他挑战(疫苗怀疑和犹豫)。因此,本文使用非线性确定性系统跟踪COVID-19的传播动态,该系统考虑了易感和部分接种疫苗的个体不愿意接受单剂量或双剂量疫苗(疫苗犹豫)。此外,该模型被扩展为包含三种时间相关的非药物和药物干预控制,即预防控制,与真正无症状和有症状的感染个体的筛查管理相关的控制,以及与使用单剂量疫苗接种易感个体相关的控制。应用庞特里亚金极大值原理建立了与最优控制相关的最优性条件。如果接种的COVID-19疫苗不完善且短暂,则存在一个参数空间,发生后向分叉。时间概况预测显示,在存在疫苗犹豫的情况下,与接种双剂疫苗相比,接种单剂疫苗可显著降低COVID-19的流行率。比较单剂量和双剂量疫苗犹豫对COVID-19流行率的影响发现,单剂量疫苗犹豫比双剂量疫苗犹豫更有害。最优分析结果显示,与药物控制相比,非药物时间依赖性控制使COVID-19流行曲线明显平坦。成本效益评估表明,非药物控制是最具成本效益的COVID-19缓解战略,应在资源有限的情况下实施。政策制定者和医务人员应评估COVID-19疫苗犹豫程度,以决定向人群接种哪种疫苗(单剂或双剂)。
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Transmission of COVID-19 in the presence of single-dose and double-dose vaccines with hesitancy: mathematical modeling and optimal control analysis
The unexpected emergence of novel coronavirus identified as SAR-CoV-2 virus (severe acute respiratory syndrome corona virus 2) disrupted the world order to an extent that the human activities that are core to survival came almost to a halt. The COVID-19 pandemic created an insurmountable global health crisis that led to a united front among all nations to research on effective pharmaceutical measures that could stop COVID-19 proliferation. Consequently, different types of vaccines were discovered (single-dose and double-dose vaccines). However, the speed at which these vaccines were developed and approved to be administered created other challenges (vaccine skepticism and hesitancy).This paper therefore tracks the transmission dynamics of COVID-19 using a non-linear deterministic system that accounts for the unwillingness of both susceptible and partially vaccinated individuals to receive either single-dose or double-dose vaccines (vaccine hesitancy). Further the model is extended to incorporate three time-dependent non-pharmaceutical and pharmaceutical intervention controls, namely preventive control, control associated with screening-management of both truly asymptomatic and symptomatic infectious individuals and control associated with vaccination of susceptible individuals with a single dose vaccine. The Pontryagin's Maximum Principle is applied to establish the optimality conditions associated with the optimal controls.If COVID-19 vaccines administered are imperfect and transient then there exist a parameter space where backward bifurcation occurs. Time profile projections depict that in a setting where vaccine hesitancy is present, administering single dose vaccines leads to a significant reduction of COVID-19 prevalence than when double dose vaccines are administered. Comparison of the impact of vaccine hesitancy against either single dose or double dose on COVID-19 prevalence reveals that vaccine hesitancy against single dose is more detrimental than vaccine hesitancy against a double dose vaccine. Optimal analysis results reveal that non-pharmaceutical time-dependent control significantly flattens the COVID-19 epidemic curve when compared with pharmaceutical controls. Cost-effectiveness assessment suggest that non-pharmaceutical control is the most cost-effective COVID-19 mitigation strategy that should be implemented in a setting where resources are limited.Policy makers and medical practitioners should assess the level of COVID-19 vaccine hesitancy inorder to decide on the type of vaccine (single-dose or double-dose) to administer to the population.
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来源期刊
Frontiers in Applied Mathematics and Statistics
Frontiers in Applied Mathematics and Statistics Mathematics-Statistics and Probability
CiteScore
1.90
自引率
7.10%
发文量
117
审稿时长
14 weeks
期刊最新文献
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